Kristoffer Wickstrøm

,

Visual Intelligence

Associate Professor

,

UiT The Arctic University of Norway

UiT The Arctic University of Norway

Principal investigator of


Research field(s) of interest:

Publications

Publications from Visual Intelligence

A robust and versatile deep learning model for prediction of the arterial input function in dynamic small animal [18F] FDG PET imaging

By authors:

Christian Salomonsen, Luigi T. Luppino, Fredrik Aspheim, Kristoffer Wickstrøm, Elisabeth Wetzer, Michael Kampffmeyer, Rodrigo Berzaghi, Rune Sundset, Robert Jenssen & Samuel Kuttner

Published in:

EJNMMI Res 16, 65 (2026)

on

March 9, 2026

FLEXtime: Filterbank Learning to Explain Time Series

By authors:

Thea Brüsch, Kristoffer Wickstrøm, Mikkel N. Schmidt, Robert Jenssen, Tommy Sonne Alstrøm

Published in:

Explainable Artificial Intelligence. xAI 2025. Communications in Computer and Information Science, vol 2579. Springer

on

October 14, 2025

From Colors to Classes: Emergence of Concepts in Vision Transformers

By authors:

Teresa Dorszewski, Lenka Tětková, Robert Jenssen, Lars Kai Hansen, Kristoffer Knutsen Wickstrøm

Published in:

Communications in Computer and Information Science, vol 2576. Springer 2025

on

October 12, 2025

WOODWORK: A deep-learning based framework for woodpecker damage detection in powerline inspection

By authors:

Duy Khoi Tran, Van Nhan Nguyen, Kristoffer Wickstrøm, Michael Kampffmeyer

Published in:

International Journal of Electrical Power & Energy Systems, Volume 171, 2025, 110900, ISSN 0142-0615

on

October 1, 2025

Reconsidering Explicit Longitudinal Mammography Alignment for Enhanced Breast Cancer Risk Prediction

By authors:

Solveig Thrun, Stine Hansen, Zijun Sun, Nele Blum, Suaiba A. Salahuddin, Kristoffer Wickstrøm, Elisabeth Wetzer, Robert Jenssen, Maik Stille, Michael Kampffmeyer

Published in:

Medical Image Computing and Computer Assisted Intervention – MICCAI 2025.

on

September 17, 2025

Assessing the Efficacy of Multi-task Learning in Mammographic Density Classification: A Study on Class Imbalance and Model Performance

By authors:

Suaiba A. Salahuddin, Elisabeth Wetzer, Kristoffer Wickstrøm, Solveig Thrun, Michael Kampffmeyer and Robert Jenssen

Published in:

Lecture Notes in Computer Science (LNCS) 2025 ;Volum 15726.

on

June 16, 2025

AdaptCMVC: Robust Adaption to Incremental Views in Continual Multi-view Clustering

By authors:

Jing Wang, Songhe Feng, Kristoffer Wickstrøm, Michael Kampffmeyer

Published in:

IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), pp. 10285-10294, 2025

on

June 10, 2025

REPEAT: Improving Uncertainty Estimation in Representation Learning Explainability

By authors:

Kristoffer Wickstrøm, Thea Brüsch, Michael Kampffmeyer, Robert Jenssen

Published in:

Proceedings of the AAAI Conference on Artificial Intelligence, 39(8), 8341-8350

on

April 11, 2025

From Flexibility to Manipulation: The Slippery Slope of XAI Evaluation

By authors:

Wickstrom, Kristoffer; Höhne, Marina; Hedström, Anna.

Published in:

European Conference on Computer Vision (ECCV) 2024 Workshop: Explainable Computer Vision: Where are We and Where are We Going?, 2024.

on

December 7, 2024

Finding NEM-U: Explaining unsupervised representation learning through neural network generated explanation masks

By authors:

Bjørn Leth Møller, Christian Igel, Kristoffer Knutsen Wickstrøm, Jon Sporring, Robert Jenssen, Bulat Ibragimov

Published in:

Proceedings of the 41st International Conference on Machine Learning, PMLR 235:36048-36071, 2024.

on

July 29, 2024

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